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Neuron-based ripple carry parallel adder-subtractor Invention relates to information and computer engineering equipment and can be used to create arithmetic logic units for designing high-speed and efficient digital devices for summation and subtraction of numbers in a binary number system in direct codes. The device has a number input unit, a comparator unit, an adder unit, a larger number register unit, a summation-subtraction unit, a smaller number register unit, a result register unit and a control unit. |
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Method of evaluating correctness of actions of a femoral aortography trainee is realised using a virtual computer simulator, wherein a special-purpose peripheral device for simulating tool actions transmits control signals to a special-purpose software system for controlling a computer operating scene; in said system, a unit for simulating computer operating scene objects based on mathematical models creates a computer operating scene; information on events relating to the computer operating scene is transmitted to a unit for recording events during operation simulation, which records actions of the trainee and/or changes in the state of the operating scene with the required sets of parameters; the unit for recording events during operation simulation transmits information to a unit for real-time evaluation of significance and correctness of performed actions, which processes recorded events by applying thereto formalised criteria for significance and correctness of performed actions; the unit for real-time evaluation of significance and correctness of performed actions transmits the set of estimates of actions of the trainee at the end of operation simulation to a unit for final evaluation of actions. |
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Invention relates to automated information collection, processing and analysis systems, as well as artificial intelligence systems and can be used in designing, testing, studying and improving automated information collection, processing and analysis systems, including special-purpose information-telemetry software systems of space-rocket equipment specimens. A test object is placed in a software system for simulating a group telemetric signal and situations are simulated, the degree of aggregation of which is lower than the aggregating capacity of the test object. Weights and graph edges are adjusted. A multidimensional realisation graph of a decision function is obtained, which is differentially mapped on a plane. Characteristic structures are identified. Situations which cause initiation of peaks and graph edges, which form characteristic structures, are simulated, giving rise to a new multidimensional graph with new characteristic structures on a projection. Iterative readjustment of the realisation graph of the decision function is therefore performed. |
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Method for arranging and keeping medical monitoring According to the method, the number of electronic cards is formed for each patient, one of which is supposed to be general, stored in the patient's record of shared database of a central computer; the other cards are specialised; they are created by specialists and stored on a computer's workplace; the general patient's card comprising the sections 'Passport Details', 'Diagnoses', 'Laboratory and Instrumental Findings (Analysis)', 'Drug Preparations', and the section 'Connection of the Specialised Patient's Card' available for all the doctors for reading only; the section 'Card Register of Specialised Patient's Cards is created in the computer for each specialist for diagnosing, treating and predicting and comprises the section 'Patient' including patient's general information; the section 'Diagnosis' including the fields that enable observing the entire picture of the patient's state; the section 'Monitoring' that describes the entire picture of the patient's state; the section 'Monitoring of Patient's State' is used to create the patient's state monitoring field if a disease is therapeutically exposed with structuring all the records and prescriptions in the fields; the section 'Therapeutic and Post-Therapeutic Follow-Up' including a unit for patient's response monitoring after each prescribed therapeutic course and a data formation unit for each patient after the complete therapeutic course with all the data in the unit being systematised automatically in accordance with the diagnosis and stage of disease, and the section 'Monitoring Results of the Patient's State Data'. |
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Method for intelligent information processing in neural network Composite signal, consisting of a useful signal, summed with a first part of pre-generated low-power noise and a similar second part of said noise, is transmitted to a multilayer recurrent neural network with control synapses as a signal which is pre-decomposed into components, with each component converted to a sequence of unit characters with repetition frequency as a predefined function of the amplitude of the component. The composite signal is presented in form of successive groups of unit characters. When transmitting groups of unit characters from layer to layer, unit characters relating to the useful signal are copied from the signal-noise groups into corresponding noise groups. Copies of the signal-noise groups of unit characters are formed from the noise groups and said copies are processed based on change in shape of cross-sections of diverging unit characters and rotations of said characters around directions of transmission thereof based on the current states of the layers. |
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Method and apparatus for automatic detection of radio signal keying types Apparatus has an antenna, an analogue-to-digital converter, a unit for generating in-phase and quadrature signal components, a cumulant calculating unit and a neural network unit. |
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Method of training artificial neural network Method comprises steps of: determining the required number of training vectors; limiting the input vector space with a certain region O; indicating M vectors which describe the most typical representatives of each of the investigated classes of objects belonging to the region O; generating K training vectors of input signals of artificial neural networks (ANN), first in the vicinity of the M vectors, with subsequent expansion to the region O; creating visual patterns clearly describing objects specified by the generated training vectors; determining one of M classes to which each of the K generated training vectors of input signals of ANN is associated; recording the generated training vectors and reference signals corresponding to classes of objects, to which the generated vectors relate, in form of pairs; reading the recorded pairs and transmitting to ANN inputs; correcting the vector of synaptic weights of neurons w(n) with a correction step η until training of the ANN is complete. |
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Modified fuzzy rule intelligent controller Device has a control object, an efficiency coefficient unit, a control neural network self-training rule unit, a system operation history unit, a control neural network, a fuzzification unit, a fuzzy output unit and a defuzzification unit. |
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Method for intelligent information processing in neural network During intelligent information processing in a two-layer recurrent neural network with controlled synapses when transmitting a plurality of unit characters from layer to layer, the unit characters are turned about transmission directions thereof based on the current states of the layers. |
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Invention relates to railway transport and can be used for control over train service under conditions of repair. Proposed system comprises computer-aided workstations with their processors connected via communication server and data base transmission network to receive data of train schedule and daily plan of gaps, software-hardware of computer-aided control systems of switching and freight terminals, and unit of routing train service simulation. Simulation system comprises train schedule options generator, generator of loading options for railway stations, units of forecast of loading and departure, train service model, data base and traffic forecast unit. |
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Method, device and software for conversion and usage of data based on polynoms Device to convert and use polynom-based data comprises a processor. This processor is configured for identification of data, which is relevant for a set of one or more requests. At the same time the processor also realises generation of a vector of an information source, which indicates sources of information associated with data. Also the processor is configured for generation of a polynom on the basis of the vector of the source of information. Besides, the processor also realises factorisation of a polynom, for generation of multiple orthogonal signatures of data. |
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System and method for efficient network simulation System includes a simulation model, a monitoring server monitoring unit and a simulation manager. The simulation model of the monitoring server is provided for precise presentation of various client devices and corresponding connections thereof for transmitting data in an electronic network. The simulation manager of the monitoring server gathers various types of simulation parameters corresponding to the electronic network. The simulation manager then uses the simulation model and simulation parameters to perform network simulation, to identify and correct various types of problems associated with network performance. |
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Biomolecule-based logic element system (versions) Element consists of an agent (molecule, particle, solid phase surface), having at least a binding receptor 1 and a binding receptor 2; a blocked label which directly or indirectly participates in generating at least one output action and capable of directly or indirectly binding with said biding receptor 2 of said agent, such that the bond between said blocked label and said binding receptor of said agent is defined by at least one input signal; a blocking substance capable of directly or indirectly binding with said binding receptor 1 of said agent depending on at least one input signal, such that during said binding of said blocking substance with said binding receptor 1 of said agent, said blocked label is spatially or spatially-electrostatically blocked, with corresponding input signals bound with said agent, which results in change in said output action. |
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Preliminary analysis of drilling site for planning of deposite mining Method includes stages, at which the following is carried out: data is collected from an exploratory hole, and analysis of data uncertainty is carried out. The exploratory hole is prepared for flow passage by means of at least one recovery action in the exploratory hole shaft. The initial speed of the hydrocarbon flow is identified from the exploratory hole shaft. The selected method of exploratory hole finishing is selected. The second speed of hydrocarbon flow is determined from the well shaft to identify increased amount of production as a result of the recovery action. In response to identification of the increased amount of production as a result of the recovery action, they assess results for the well shaft using a model of one shaft, and results are scaled to the deposit level. |
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Method of modelling communication networks Initial diagram of the investigated network is formed; a set of W possible types of security threats and Z appropriate security means are determined; operation of the modelled communication network in case of accidental faults in network vertices and arms is simulated; nominal rates VN of transmitting messages and the number of errors KN are determined; a security threat is simulated; an intermediate diagram is formed, which includes the remaining vertices and arms connecting said vertices; if the measured value t s e r v S T of the time of servicing subscribers satisfies the condition t s e r v S T < t s e r v " т р " , security threat simulation conditions are adjusted by adding one more security threat, and if t s e r v S T > t s e r v " т р " , the number of security threats carried out PST is stored; use of security means is simulated; the time t s e r v S M of servicing subscribers is measured and compared to t s e r v " т р " and if t s e r v S M > t s e r v " т р " , conditions for simulating use of appropriate security means are adjusted by adding one more security means, and if t s e r v S M < t s e r v " т р " , the current rate VC of transmitting messages and the number of errors KC of the transmitted messages are measured; and if the conditions VC<VN and KC<KN are satisfied, the number of security threats carried out is stored taking into account use of security means PSM, and the critical number Pcr of security threats carried out is calculated, and if VC=VN and KC=KN, security threat simulation conditions are readjusted by adding one more security threat. |
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System has a data processing apparatus which includes devices for controlling data processing, synthesis of a virtual operating version of the system, selecting an optimum version of the solution, comparing parameters of the automated control system and ranking problems of developing the automated control system, connected in a defined order, connected to the data processing apparatus - display device, input/output device and data storage device, which includes a database control device, a database of a list of types of problems and corresponding mathematical models, a database of examples of problem solutions, a database of parameters of the level of development of the automated control system and a database of general mathematical methods of solving problems, connected to the database control device. |
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Simulator for self-forming networks of informal neurons Simulator comprises a number of neuron-like elements each of which contains synaptic weight changing units, a summation unit, a comparator, a converter, a random number generator, a multiplier unit, a pulse strobing unit and a prolongation unit controlling the comparator, as well as a summation unit with a regenerative loop. |
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Method of processing quantum information In the method, parameters of the working medium and type of dopant rare-earth element are selected. Photons acquire relative nonlinear phase shift in the medium. The value of the shift is controlled by varying settings of two additional optical pumping fields. Given quantum logic operations take place through nonlinear phase progression of pulses in said medium. |
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Method for intelligent information processing in neural network During signal processing in a multilayer recurrent network with feedback which close a loop with time delay of individual characters shorter than the irresponsiveness time network neurons after excitation thereof, with shift of pluralities of individual characters along layers, during transmission of the pluralities of individual characters from layer to layer, said pluralities of individual characters are partially reflected from the receiving layer to the transmitting layer and stored recognition results are partially deleted from network entities by these partially reflected pluralities of individual characters. |
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Knowledge control system for resolving situations Knowledge control system for resolving situations has a knowledge creation unit, a knowledge organisation unit whose input is connected to the output of the knowledge creation unit, a knowledge localisation unit whose input is connected to the output of the knowledge organisation unit, a knowledge positioning unit whose input is connected to the output of the knowledge localisation unit, and a knowledge recycling unit whose inputs are connected to the outputs of the knowledge localisation and positioning units. A system integration unit, the inputs and outputs of which are respectively connected to inputs and outputs of the knowledge creation, organisation, localisation, positioning and recycling units, and a system visualisation unit whose input is connected to the output of the system integration unit. |
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Method of predicting time of onset and level of floods Method is realised by a mathematical model of a neural network, which is a hybrid network with cascade connection of the Kohonen distribution layer and a predicting two-layer perceptron network; the input vector of the mathematical model of the neural network includes daily values of the gradient of local temperature field expressed by coordinates, and corresponding values of the water level over the past eight days at the prediction point; before use, the mathematical model is trained on daily 20-year data, as a result of which the Kohonen layer accumulates information on classes of the course of the values of the gradient of the local temperature field and the level of water at the prediction point by selecting clusters of values corresponding to the observed weather patterns; during prediction, an input vector is transmitted to the input of the Kohonen layer, the input vector including daily values of the gradient of the local temperature field and corresponding values of the water level over the past eight days; at the output of the Kohonen layer, a vector of values is formed, which corresponds to a specified cluster, which is then transmitted to the input of the perceptron network which, based on approximation of the complex nonlinear relationship between values of the gradient of the local temperature field at the prediction point and the level of water, calculates predicted values of the gradient of the local temperature field and the level of water. |
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Microcontroller with hardware variable structure fuzzy computer Method is realised by including a separate arithmetic logic unit into a fuzzy computer unit located on the same chip with a control processor, which enables to perform all fuzzy processing operations independently and simultaneously with command and data processing by the control processor. Broader capabilities and the variety of realised control systems are provided due to the possibility of using arbitrary membership functions given in table form, and changing the knowledge base in real time owing to access to the common memory address space. |
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Method for signs election using genetic algorithm based on group of classification systems There are used multiple data separation templates to a training data set for patterning multiple classification systems for obtaining at least one classification result. There is integrated at least one classification result from the multiple classification systems for obtaining an integral accuracy result. The integral accuracy result is derived for the genetic algorithm as a suitable value for a sub-collection of candidate signs wherein sign election based on the genetic algorithm is actuated. |
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Method of simulating communication network Method comprises steps of: providing simulation source data and calculating data traffic routes. To this end, connection of subscribers to communication network nodes is simulated, for which the value of the memory cell containing the number of the communication network node is measured, the value of current time is compared with the time interval of the stationary state of the subscriber and the time interval of movement of the subscriber is generated. The number of the node to which the subscriber has moved is generated randomly. The possibility of connecting the m-th subscriber to the communication network node is assessed. After connecting all subscribers to the communication network nodes, a matrix which describes communication network connectivity is formed. Data traffic routes between communication network subscribers are determined. Topology and structure of the communication network are changed and operations for determining the data traffic route are repeated. The probability of route availability in each information direction for the entire simulation period is calculated. |
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Adaptive control device, neuron-like base element and method for operation of said device Device includes a plurality of neuron-like base elements (BE) which are grouped into modular units such that outputs of like BE are orthogonal to inputs of other BE and are separated by a dielectric film with a semiconductor layer. The neuron-like BE has a multipoint input for reception and summation of electrical signals, a working output and a signal processing unit, having a threshold voltage former, a comparator and two normalised voltage formers. |
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Method of registering unit element using fuzzy logic methods In the method of recording a unit element, readings obtained after signal discretisation are associated with membership functions which characterise "good" reception of logic "1" or logic "0". Further, a procedure for resolving a fuzzy integral is carried out, after which a decision on receiving a binary unit "1" or zero "0" is made. To increase reliability of receiving a unit element on the decision boundary, presence of a zone of uncertain registration, wherein a decision on reception of a "delete" signal is made, is taken into account. |
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Invention can be used in designing computing means for systems for controlling highly manoeuvrable aviation and space-rocket objects where there is need for fast computation of functions, for example, trigonometric functions, used in matrix transformations when solving tasks of forming an inertial coordinate system based on information from angular velocity sensors, and when solving tasks for maintaining operating capacity of computers during changes in parameters of LSI elements due to the effect of natural or artificial ionising radiations. The device has a unit for communication with an on-board computer or which controls a higher level subsystem, a control device, a buffer register, a memory device, multipliers, an adder and an output register. |
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System for modelling genetic and linguistic information In a system, having four monochromatic radiation sources or colour labels connected in pairs, which can turn about a common axis and a sensitive medium which records information, one complementary pair of the radiation sources is rigidly connected to a shaft, and the second can independently turn about a common shaft and can be fixed in a perpendicular position relative the pair which is rigidly connected to the shaft. |
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Method of generating regular sequences with elements composed of binary signals Multibit devices based on the invention are characterised by stable, functionally unpredictable behaviour, exhaustively complete parallelism and easy implementation, low hardware and power costs and high efficiency. The device which realises the method has a clock pulse generator, a block of nonlinear controlled elements, consisting of configurable logic elements and D flip-flops. |
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Method and device to produce probability models from deterministic models System to produce a probability model from a deterministic model comprises the following components: a unit to model a physiological system, by means of a verified deterministic model (VDM), besides, the VDM includes variables, which represent states of the physiological system; and a unit for data reception from the VDM and for generation of a probability model, by means of a machine learning algorithm (MLA); a unit to provide patient's data, by means of the verified deterministic model (VDM), besides, the VDM models a physiological system and includes variables, which represent states of the physiological system; a unit to receive data of a patient from the VDM and for generation of a probability model, by means of a machine learning algorithm (MLA), at the same time input variables are presented to the probability model, to provide for modelling variables. |
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Method for creation of events in synthesised environments includes the following stages, where: an executed code is identified, which is configured to generate a synthesised environment available to multiple clients, besides, the executed code includes a socket code configured to interact with sources of introduced data, at the same time the synthesised environment is a computer-modelled environment of a virtual world; introduced data is selected from the source of the introduced data from a set of such sources of introduced data, at the same time introduced data is developed and may be changed regardless of the executed code; a point of actuation is set, in which a socket code and introduced data interact for introduction of the dynamic information content into the synthesised environment; and an event is generated for introduction of the dynamic information content into the synthesised environment without change of the executed code. |
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Method and apparatus for predicting nonstationary time series Invention is related to radio engineering and can be used to predict data in systems for different purposes. The method of predicting nonstationary time series, based on an autoregressive model of a moving average with minimum mean-square error additionally involves operations for recirculating input data by one reading, oversampling the initial process in a logarithmic time scale, finding the energy spectrum of the obtained signal, determining response corresponding to entropy of the sampling energy spectrum, calculating the maximum value of entropy responses, finding a prediction for realisation, which corresponds to the maximum entropy value, oversamping the prediction result in an exponential time scale. |
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Method of generating random sequences with elements composed of binary signals Invention relates to digital technology and can be used in generating random numbers and transforming data, processing noise-like signals, identification, authentication and authorisation, in stochastic systems and devices and systems for displaying information, information-communication and sensor devices and systems. Multibit devices based the invention are characterised by stable, functionally unpredictable behaviour, exhaustively complete parallelism and easy implementation, low hardware and power costs and high efficiency. The device which realises the method has a clock pulse generator, a block of nonlinear controlled elements, consisting of configurable logic elements and D flip-flops. |
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Device for simulating mass service systems Device for simulating mass service systems has an request flow generator, an incoming request counter, a counter of requests denied service, a random time delay unit, a bidirectional counter of busy channels, a bidirectional counter of the length of the queue, a four-input OR element, a counter 6 of serviced requests, a three-input AND element, a five-input AND element, a two-input AND element with inverting inputs, two three-input AND elements with inverting inputs, three four-input AND elements with inverting inputs, a five-input AND element with inverting inputs, an N-input NAND element, where N is equal to the number of bits of the bidirectional counter of busy channels, an N-input NOR element, an M-input NAND element, where M is equal to the number of bits of the bidirectional counter of the length of the queue, an M-input NOR element, an L-input OR element, where L is equal to the number of bits of the bidirectional counter of requests denied service, a flip-flop and a divider. |
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Automated technical assignment generator for doctor-design engineer Automated technical assignment generator for a doctor-design engineer has input information electronification units, a bank of modules for audit report, technical assignment examples, technical assignment templates, generator control, displaying information and printing, wherein there is an additional unit for adjustment to the specific features of the medical-engineering object and type of medical activity and a system integration unit, wherein the unit for adjustment to the specific features includes modules of adjustment tools, the adjustment object, adjustment requirements, specification documents, monitoring and controlling adjustment, and the system integration unit includes modules for displaying the object, the operation integration paradigm, analysis and synthesis of solutions, system and intelligent-computer support. |
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Predicting properties of underground formation Method comprises steps for: obtaining seismic data for an area of interest; obtaining an initial seismic cube using said seismic data, wherein the initial seismic cube is a three-dimensional representation of the seismic data; generating a plurality of shifted seismic cubes within the area of interest using said seismic data and a shifting parameter, wherein each of the plurality of shifted seismic cubes is shifted from the initial seismic cube; and wherein the shifting parameter defines a direction and a range that the initial seismic cube should be shifted; generating a neural network using the initial seismic cube, the plurality of shifted seismic cubes, and well log data; and applying the neural network to said seismic data to obtain a model for the area of interest, the model being configured for use in adjusting an operation of the wellsite. |
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Method for neural network analysis of cardial condition Method comprises the stages involving formation of a learning sample in the form of a set (k-1)*m of n-size reference data vectors, construction of decision rules and learning of k*L (L is lead number) neuron networks for analysis of each cardiac k-states in each lead. Then patient's electric cardiac signal is recorded, pre-processed and presented in the form of the n-size vector. The neural network analysis is enabled by comparing the n-size vector to the number (k-1)*m of n-size reference data vectors. The neural network analysis data are used to sample the cardiac k-state with maximum number of signs. |
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Local computer-aided ophthalmic microsurgical network for enucleation and evisceration operations Local computer-aided ophthalmic microsurgical network for enucleation and evisceration operations has formatting devices in form of a radial-annular structure consisting of a single set of automated workstations (AWS), which are synchronously and asynchronously operating, processing, converting, transmitting, analysing, synthesising hierarchical structures of an artificial neural network: diagnostic AWS, ophthalmic microsurgical AWS, AWS for successive operation steps, AWS for components, surgical operation AWS with anti-parallel forward and reverse flow of information in between. All anti-parallel main forward and refining reverse flow of information form one multigraph with not less than fourteen vertices, consisting of AWS, which function in parallel and synchronously, connected by not less than ninety six directed edges. |
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Automated ophthalmic microsurgeon workstation for pediatric surgery Automated ophthalmic microsurgeon workstation for pediatric surgery has formatting devices in form of closed neural chains consisting of interconnected identification unit, interpolation unit, extrapolation unit, a unit for estimating the next values of identified parameters, a unit for analysing amblyopia and strabismus, a decision unit, wherein inside each neural chain, each unit is connected to other units of that chain in series and in parallel, and each unit of one neural chain is connected to each of the units of other neural chains via forward and reverse data flow; wherein all opposite forward and reverse data streams form a single multigraph with not less than eighteen peaks joined by not less than one hundred and fifty three directed edges. |
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Method for computer-aided training of one or more neural networks Rate of change of the initial data time series is calculated to obtain derivative values. These derivative values undergo Empirical Mode Decomposition, which is a well-known technique. Modes extracted via said Empirical Mode Decomposition, as well as some delayed values of the time series are used as inputs for neural networks, while the output of these networks are future values of the time series, which must be predicted. These networks are trained and used to predict future values of the time series. The invention provides good prediction results by using derivative values as inputs, while past values are also considered as inputs. The invention can be used to predict values of any time series and, particularly, for predicting the behaviour of engineering systems, for example, vibrations arising in an engineering system. |
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Local computer-aided ophthalmic microsurgical network for keratoplasty operations Local computer-aided ophthalmic microsurgical network for keratoplasty operations has formatting devices in form of a radial-annular structure consisting of a single set of automated workstations (AWS), which are synchronously and asynchronously operating, processing, converting, transmitting, analysing, synthesising hierarchical structures of an artificial neural network: diagnostic AWS, ophthalmic microsurgical AWS, AWS for successive operation steps, AWS for components, surgical operation AWS with anti-parallel forward and reverse flow of information in between, which form one multigraph with not less than fourteen vertices which function in parallel and synchronously with possibility of magnifying the structure and functional connections, connected by not less than nine oriented edges. |
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Production optimiser for supply chain management One version of the invention provides a method for optimising a supply chain management (SCM) problem. A genetic algorithm optimisation technique may be used to generate a production solution for the production side of an SCM problem and an ant colony optimisation technique may be used to generate a solution for the distribution side of the SCM problem. Together, the genetic algorithm optimisation technique and the ant colony optimisation technique operate to quickly identify high-quality solutions to an SCM problem. |
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Parallel adder-subtractor in ternary number system on neurons Invention relates to information and computer engineering equipment and can be used for synthesis of arithmetic logic units for designing high-speed and efficient digital devices for summation and subtraction of numbers in a ternary number system in direct codes. The device has a number input and encryption unit, an adder unit, a first number register unit, a second number register unit, a result register unit and a control unit. |
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Method for automated robust classification radio signals according to structure-time parameters Method comprises steps where educational data are clustered based on a competition principle which enables to build a set of standard vectors of structure-time parameters of known classes of radio signals with automatic estimation of a value σ for each standard vector; using these data to build a probabilistic neural network; using the built probabilistic neural network to estimate probability density distribution of known classes of radio signals in the region of an unknown (classified) signal and the unknown signal is identified with a class having the highest probability density distribution in the region of the unknown signal, characterised by that before building the probabilistic neural network. |
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Method of simulating deliberate damage to communication network elements Communication network elements are numbered, the time at which communication network elements are damaged is generated, and the beginning of another statistical implementation over a time Δt corresponding to the operating time of the communication network is determined. The relative structural significance factor of each communication network element is determined, and calculation of the number and drawing of the numbers of the damaged communication network elements is performed. Further, the communication network elements are checked for damages. The number of the damaged communication network elements is recorded. The technical state of the communication network elements is checked and the overall time for which they are in a functional Tfur and failure Tf state is determined. The availability factor Ka is calculated based on these data. |
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Method comprises the following steps: choosing a training data set from a set of training cases using systematic data scaling and creating a classifier based on the training data set using a classification method. |
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Device for hardware implementation of evolutionary algorithm with inexplicit operators Device has introduced in it crossingover unit, mutation and inversion unit, where the crossingover unit is intended to generate new chromosome through combining genetic material from two parent chromosomes, mutation and inversion unit is intended for random variation of chromosome by reversing state of bits. |
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Device to model systems of mass service Device contains seven AND gates, two triggers, three OR gates, two OR-NO gates, random-number generator, two groups of AND gates with N gates in each group where N is equal to number of digits in decrement counter, two decrement counters and clock generator. |
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System and method for checking web resources for presence of malicious components List of web resources for checking is compiled, the time or frequency of checking is established and web resource authorisation and the checking process are controlled. This system allows for efficient and rapid detection of infection of one or more web resources from the list based on access rights for the given web resource. |
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Method to forecast consumption of expendable materials and cost of print job completion Method includes the following stages: selection of a printed document; transformation of the document into colour space of the printing system; imitation of halftoning procedure; assessment of expendable materials consumption per dot; calculation of expendable materials amount necessary to complete the print job; calculation of expendable materials cost necessary to complete the print job; set-up of printing parameters or adjustment of the source document; addition of the print job into the print queue; updating the necessary quantity of expendable materials and paper required to complete the print queue; updating planning of the system maintenance; updating average quantity of expendable materials and paper; replenishment of expendable materials and paper inventory, if the inventory is not sufficient; printing the number of copies; measurement of actual consumption of expendable materials; correction of rated quantity of expendable materials consumption per dot. |
Another patent 2513240.